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A flow-based model of web site intentions when users customize products in business-to-consumer electronic commerce

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  • Arnold Kamis

    (Suffolk University)

  • Tziporah Stern

    (The City University of New York)

  • Daniel M. Ladik

    (Suffolk University)

Abstract

User-customization is increasingly common in electronic commerce, because both the buyer and seller potentially benefit. The user interface to implement and the influence of the interface on various process and outcome measures, however, are not well understood. We developed a Flow-based model consisting of seven hypotheses regarding the user interface and its consequents. We conducted a field experiment to test an attribute-based interface vs. a question-based interface on three variables (perceived control, shopping enjoyment and choice satisfaction) as well as two web site intentions: intention to return and intention to purchase. Six of the seven hypotheses were supported in a parsimonious model. Variance explained was 16.3% for perceived control, 45.6% for shopping enjoyment, 59.3% for choice satisfaction and 63.1% for web site intentions. The main finding is that an attribute-based interface for retail e-shopping increases the shopper’s sense of control and feeling of enjoyment in the process more than a question-based interface, and thereby increases satisfaction with the outcome. This combination of influences increases the intention of the shopper to return to the web site and to purchase the item. We discuss the results and suggest areas for future research in user-customization, which may apply to many different industries that engage in online commerce.

Suggested Citation

  • Arnold Kamis & Tziporah Stern & Daniel M. Ladik, 2010. "A flow-based model of web site intentions when users customize products in business-to-consumer electronic commerce," Information Systems Frontiers, Springer, vol. 12(2), pages 157-168, April.
    • Handle: RePEc:spr:infosf:v:12:y:2010:i:2:d:10.1007_s10796-008-9135-y
    DOI: 10.1007/s10796-008-9135-y
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    as
    1. Yao, Andrew C. & Carlson, John G. H., 2003. "Agility and mixed-model furniture production," International Journal of Production Economics, Elsevier, vol. 81(1), pages 95-102, January.
    2. Timothy J. Gilbride & Greg M. Allenby, 2006. "Estimating Heterogeneous EBA and Economic Screening Rule Choice Models," Marketing Science, INFORMS, vol. 25(5), pages 494-509, September.
    3. Thomas P. Novak & Donna L. Hoffman & Yiu-Fai Yung, 2000. "Measuring the Customer Experience in Online Environments: A Structural Modeling Approach," Marketing Science, INFORMS, vol. 19(1), pages 22-42, May.
    4. Erik Brynjolfsson & Michael D. Smith, 2000. "Frictionless Commerce? A Comparison of Internet and Conventional Retailers," Management Science, INFORMS, vol. 46(4), pages 563-585, April.
    5. Jarvis, Cheryl Burke & MacKenzie, Scott B & Podsakoff, Philip M, 2003. "A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(2), pages 199-218, September.
    6. Se-Joon Hong & James Y. L. Thong & Jae-Yun Moon & Kar-Yan Tam, 2008. "Understanding the behavior of mobile data services consumers," Information Systems Frontiers, Springer, vol. 10(4), pages 431-445, September.
    7. Berman, Barry, 2002. "Should your firm adopt a mass customization strategy?," Business Horizons, Elsevier, vol. 45(4), pages 51-60.
    8. Marios Koufaris, 2002. "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, INFORMS, vol. 13(2), pages 205-223, June.
    9. Wendy W. Moe & Peter S. Fader, 2004. "Dynamic Conversion Behavior at E-Commerce Sites," Management Science, INFORMS, vol. 50(3), pages 326-335, March.
    10. John Hulland, 1999. "Use of partial least squares (PLS) in strategic management research: a review of four recent studies," Strategic Management Journal, Wiley Blackwell, vol. 20(2), pages 195-204, February.
    11. Timothy J. Gilbride & Greg M. Allenby, 2004. "A Choice Model with Conjunctive, Disjunctive, and Compensatory Screening Rules," Marketing Science, INFORMS, vol. 23(3), pages 391-406, October.
    12. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    13. Urbany, Joel E, 1986. "An Experimental Examination of the Economics of Information," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(2), pages 257-271, September.
    14. Yogesh K. Dwivedi & Michael D. Williams & Viswanath Venkatesh, 2008. "Guest Editorial: A profile of adoption of Information & Communication Technologies (ICT) research in the household context," Information Systems Frontiers, Springer, vol. 10(4), pages 385-390, September.
    15. J. Yannis Bakos, 1997. "Reducing Buyer Search Costs: Implications for Electronic Marketplaces," Management Science, INFORMS, vol. 43(12), pages 1676-1692, December.
    16. Xiaojun Zhang & Likoebe M. Maruping, 2008. "Household technology adoption in a global marketplace: Incorporating the role of espoused cultural values," Information Systems Frontiers, Springer, vol. 10(4), pages 403-413, September.
    17. Diehl, Kristin & Kornish, Laura J & Lynch, John G, Jr, 2003. "Smart Agents: When Lower Search Costs for Quality Information Increase Price Sensitivity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(1), pages 56-71, June.
    18. Bauer, Hans H. & Falk, Tomas & Hammerschmidt, Maik, 2006. "eTransQual: A transaction process-based approach for capturing service quality in online shopping," Journal of Business Research, Elsevier, vol. 59(7), pages 866-875, July.
    19. Viswanath Venkatesh & Ritu Agarwal, 2006. "Turning Visitors into Customers: A Usability-Centric Perspective on Purchase Behavior in Electronic Channels," Management Science, INFORMS, vol. 52(3), pages 367-382, March.
    20. Gerald Häubl & Valerie Trifts, 2000. "Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids," Marketing Science, INFORMS, vol. 19(1), pages 4-21, May.
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    Cited by:

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    3. Meißner, Martin & Pfeiffer, Jella & Peukert, Christian & Dietrich, Holger & Pfeiffer, Thies, 2020. "How virtual reality affects consumer choice," Journal of Business Research, Elsevier, vol. 117(C), pages 219-231.
    4. Jiayin Qi & Chao Zhu & Yanwu Yang, 2014. "Recommendations based on Social Relationships in Mobile Services," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(3), pages 424-436, May.
    5. Ku, Edward C.S. & Chen, Chun-Der, 2013. "Fitting facilities to self-service technology usage: Evidence from kiosks in Taiwan airport," Journal of Air Transport Management, Elsevier, vol. 32(C), pages 87-94.
    6. Jengchung Victor Chen & David C. Yen & Wannasri Pornpriphet & Andree E. Widjaja, 2015. "E-commerce web site loyalty: A cross cultural comparison," Information Systems Frontiers, Springer, vol. 17(6), pages 1283-1299, December.
    7. Bernd Heinrich & Marcus Hopf & Daniel Lohninger & Alexander Schiller & Michael Szubartowicz, 2022. "Something’s Missing? A Procedure for Extending Item Content Data Sets in the Context of Recommender Systems," Information Systems Frontiers, Springer, vol. 24(1), pages 267-286, February.
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